Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Virtual Memory Based Radar Display and Control System

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_39,
        author={Zengshan Tian and Mingxiao Wang and Mu Zhou and Feng Qiu},
        title={Virtual Memory Based Radar Display and Control System},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Radar PPI display Qt OpenGL AIS},
        doi={10.1007/978-3-319-52730-7_39}
    }
    
  • Zengshan Tian
    Mingxiao Wang
    Mu Zhou
    Feng Qiu
    Year: 2017
    Virtual Memory Based Radar Display and Control System
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_39
Zengshan Tian1,*, Mingxiao Wang1,*, Mu Zhou1,*, Feng Qiu1,*
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: tianzs@cqupt.edu.cn, wangmx199111@163.com, zhoumu@cqupt.edu.cn, qiufeng245@outlook.com

Abstract

Since the graphics processor of common X86 platform does not support the display function of multi-layer graphics, this paper proposes to combine the Qt Graphics-view framework with OpenGL pixels operation function and utilizes the graphics memory under the Linux system to achieve the layered and efficient display based on the radar information. The proposed approach can effectively realize the main functions of radar display and control system, including the radar Plan Position Indicator (PPI) display, target glint in warning area, and Automatic Identification System (AIS) target management and display. The experimental results prove that the proposed approach has the advantages of high efficiency, smooth image update, and low hardware requirements. In addition, the proposed approach has been successfully applied to a typical shipborne radar navigation system.